Difference between revisions of "AGGREGATE Movies Tutorial"
From NoSQLZoo
| Line 33: | Line 33: | ||
title:'Casablanca' | title:'Casablanca' | ||
}} | }} | ||
| + | ]).pretty() | ||
| + | </pre> | ||
| + | </div> | ||
| + | |||
| + | ==Tom Hanks== | ||
| + | <div class=q data-lang="mongo"> | ||
| + | You can use the match operator on listed items like cast. As there is an index on cast these queries operate quickly and do not have to scan the entire collection. | ||
| + | <div class=i>Show the title of the Tom Hanks movies.</div> | ||
| + | <pre class=def> | ||
| + | db.movies.aggregate([ | ||
| + | {$match:{ | ||
| + | cast:'Harrison Ford' | ||
| + | }}, | ||
| + | {$project:{_id:0,title:1} | ||
| + | ]).pretty() | ||
| + | </pre> | ||
| + | <pre class=ans> | ||
| + | db.movies.aggregate([ | ||
| + | {$match:{ | ||
| + | cast:'Tom Hanks' | ||
| + | }}, | ||
| + | {$project:{_id:0,title:1} | ||
]).pretty() | ]).pretty() | ||
</pre> | </pre> | ||
</div> | </div> | ||
Revision as of 23:33, 14 October 2016
Investigating the Movie Database
The movie database includes thousands of movies with documents such as:
{
"_id" : 10522,
"title" : "Alien",
"yr" : 1979,
"director" : "Ridley Scott",
"budget" : 11000000,
"gross" : 104931801,
"cast" : [
"Tom Skerritt",
"Sigourney Weaver",
"Veronica Cartwright",
"Harry Dean Stanton",
"John Hurt",
"Ian Holm",
"Yaphet Kotto"
]
}
Casablanca
Show the details of the movie Casablanca
db.movies.aggregate([
{$match:{
title:'Alien'
}},
]).pretty()
db.movies.aggregate([
{$match:{
title:'Casablanca'
}}
]).pretty()
Tom Hanks
You can use the match operator on listed items like cast. As there is an index on cast these queries operate quickly and do not have to scan the entire collection.
Show the title of the Tom Hanks movies.
db.movies.aggregate([
{$match:{
cast:'Harrison Ford'
}},
{$project:{_id:0,title:1}
]).pretty()
db.movies.aggregate([
{$match:{
cast:'Tom Hanks'
}},
{$project:{_id:0,title:1}
]).pretty()